University of Maryland
Degree Specifications
Bachelor of Science, Double Major
computer
Computer Science
Focus on Data Science
College of Computer, Mathematical, and Natural Sciences
psychology_alt
Psychology
Focus on Industrial-Organizational Psychology
College of Behavioral and Social Sciences
Relevant Coursework
Broad overview of existing methods for machine learning and an introduction to adaptive systems. Emphasis given to practical aspects of machine learning and data mining.
Students are introduced to database systems and motivates the database approach as a mechanism for modeling the real world. An in-depth coverage of the relational model, logical database design, query languages, and other database concepts including query optimization, concurrency control; transaction management, and log based crash recovery. Distributed and Web database architectures are also discussed.
Fundamental techniques for designing efficient computer algorithms, proving their correctness, and analyzing their complexity. General topics include graph algorithms, algorithm design paradigms (such as greedy algorithms, divide-and-conquer, and dynamic programming), network flows, NP-completeness, and other topics.
Broad overview of statistical data analysis, basic machine learning algorithms, large-scale data management, cloud computing, and data visualization.
Assess usability by quantitative and qualitative methods. Conduct task analyses, usability tests, expert reviews of working products by interviews, surveys, and logging. Apply design processes and guidelines to develop professional quality user interfaces. Build low-fidelity mockups and high-fidelity prototypes using contemporary tools
Introduction into computational research methods in the fields of Psychology and Neuroscience through a hands-on approach with simulated and real data sets. Focus on basic procedural programming in R and Python to explore statistics and probability theory from a computational perspective.
Survey of the field of industrial organizational psychology including: organizational entry, organizational psychology, and workplace productivity.
Description, properties, and storage allocation functions of data structures including balanced binary trees, B-Trees, hash tables, skiplists, tries, KD-Trees and Quadtrees.
Version control and collaboration are essential skills for developers to learn. Students will learn how to use Git for basic and advanced workflows, GitHub for team and project management, and explore tools to help them excel in a DevOps environment.
Analysis of research and intervention strategies developed and used by counseling psychologists. Historical and current trends in content and methodology.
Overview to the fundamental theoretical, conceptual, and practical issues in psychological research in both the laboratory and the field.
An introduction to the basic concepts of cognitive psychology, the scientific study of mental processes. Topics will include perception, attention, memory, reasoning, and language, with an emphasis on how findings from cognitive psychology can inform real-life thinking (e.g., memory strategies for studying, pitfalls of multitasking, and how/why our memories can fail us).
A systematic study of the complexity of elementary algorithms related to sorting, graphs and trees, and combinatorics. Analysis of algorithms through recurrences and summations.
Critical analysis of clinical psychology, with particular emphasis on current developments and trends.
Research, theory and their practical applications pertaining to the development, maintenance and dissolution of human relationships. Processes critical to successful relating (e.g., communication, bargaining, conflict resolution), and issues associated with troubled dyadic relations with equal partners (e.g., jealousy, spouse abuse, divorce).
Covers concepts including: C programming, introductory systems programming, assembly language, UNIX, machine data representation, thread management, optimization, and virtual memory.
Review of psychological implications of racism, sexism, homophobia and other structures of inequality in the United States.
An examination of how psychological, biological, and social factors impact physical health and well-being. Students will use the biopsychosocial model to analyze topics including stress, health disparities, pain, addiction, disease states (e.g., cardiovascular disease, diabetes, cancer), and primary prevention.
Explores the current research in assessment and treatment of addictive behaviors. Topics may include addictions in the areas of alcohol, drugs, nicotine, gambling, and eating.
Topics include lexical analysis, parsing, intermediate representations, program analysis, optimization, and code generation.
A study of programming languages, including their syntax, semantics, and implementation - including dynamic, scripting, functional, and memory safe systems programming.
Coding Languages
Development Tools
